Performance Evaluation of Lithium-Ion Batteries Considering State of Charge and State of Health for Electric Vehicle Applications

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Notice

nThis is an unedited manuscript accepted for publication and provided as an Article in Press for early access at the author’s request. The article will undergo copyediting, typesetting, and galley proof review before final publication. Please be aware that errors may be identified during production that could affect the content. All legal disclaimers of the journal apply.n

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Year : 2025 [if 2224 equals=””]20/09/2025 at 2:49 PM[/if 2224] | [if 1553 equals=””] Volume : 15 [else] Volume : 15[/if 1553] | [if 424 equals=”Regular Issue”]Issue : [/if 424][if 424 equals=”Special Issue”]Special Issue[/if 424] [if 424 equals=”Conference”][/if 424] 03 | Page : 32 47

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    Bhupendra Deshmukh, Mohite Utkarsha Laxman, Kadam Deepak Prakash,

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  1. Student, Student, Student, Department of Electronic and Telecommunication, MET’s Institute of Engineering, Nashik, Department of Electronic and Telecommunication, MET’s Institute of Engineering, Nashik, Department of Electronic and Telecommunication, MET’s Institute of Engineering, Nashik, Maharashtra, Maharashtra, Maharashtra, India, India, India

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Abstract

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nThis study aims to compare temperature-regulated and uncontrolled charging methodologies to determine the most effective approach for optimizing battery performance while minimizing charging duration. The study assesses both constant current (CC) and temperature-controlled pulse charging (TRPC) methods. The battery temperature increases in direct proportion to the applied current during CC charging and cannot be controlled in the absence of external cooling systems. Key performance measures, such as the effect on the State of Health (SOH) and the anticipated battery longevity, are the main focus of the investigation. Simulations using 12.8 V, 40 Ah Lithium-Ion (LiFePO4) batteries show that improved temperature regulation significantly enhances charge acceptance without altering the charging rate. By maintaining optimal thermal conditions, battery efficiency and performance are increased, minimizing energy losses and potential thermal stress. This controlled environment ensures more stable electrochemical reactions, allowing the battery to accept higher charge levels within the same time frame. Such regulation plays a crucial role in prolonging battery lifespan, optimizing energy storage, and improving overall system reliability in real-world applications.nn

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Keywords: SOC, SOH, Li-ion battery, TRPC, CC, CC-CV

n[if 424 equals=”Regular Issue”][This article belongs to Journal of Energy, Environment & Carbon Credits ]

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[/if 424][if 424 equals=”Special Issue”][This article belongs to Special Issue under section in Journal of Energy, Environment & Carbon Credits (joeecc)][/if 424][if 424 equals=”Conference”]This article belongs to Conference [/if 424]

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How to cite this article:
nBhupendra Deshmukh, Mohite Utkarsha Laxman, Kadam Deepak Prakash. [if 2584 equals=”][226 wpautop=0 striphtml=1][else]Performance Evaluation of Lithium-Ion Batteries Considering State of Charge and State of Health for Electric Vehicle Applications[/if 2584]. Journal of Energy, Environment & Carbon Credits. 20/09/2025; 15(03):32-47.

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How to cite this URL:
nBhupendra Deshmukh, Mohite Utkarsha Laxman, Kadam Deepak Prakash. [if 2584 equals=”][226 striphtml=1][else]Performance Evaluation of Lithium-Ion Batteries Considering State of Charge and State of Health for Electric Vehicle Applications[/if 2584]. Journal of Energy, Environment & Carbon Credits. 20/09/2025; 15(03):32-47. Available from: https://journals.stmjournals.com/joeecc/article=20/09/2025/view=0

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  1. Shah FA, Sheikh SS, Mir UI, Athar SO. Battery health monitoring for commercialized electric vehicle batteries: Lithium-Ion. 2019 International Conference on Power Generation Systems and Renewable Energy Technologies (PGSRET); 2019 Aug 26–27; Istanbul, Turkey. Piscataway (NJ): IEEE; 2019; 1–6. doi: 10.1109/PGSRET.2019.8882735.
  2. Azis NA, Joelianto E, Widyotriatmo A. State of charge (SoC) and state of health (SoH) estimation of lithium-ion battery using dual extended Kalman filter based on polynomial battery model. 6th International Conference on Instrumentation, Control, and Automation (ICA); 2019 Aug 7–9; Bandung, Indonesia. Piscataway (NJ): IEEE; 2019; 88–93. doi: 10.1109/ICA.2019.8916734.
  3. Chowdhury S, Bin Shaheed MN, Sozer Y. An integrated state of health (SOH) balancing method for lithium-ion battery cells. 2019 IEEE Energy Conversion Congress and Exposition (ECCE); 2019 Sep 29–Oct 3; Baltimore, MD, USA. Piscataway (NJ): IEEE; 2019; 5759–63. doi: 10.1109/ECCE.2019.8912932.
  4. Zhang S. A new method for lithium-ion batteries SOH estimation and RUL prediction. 2018 13th IEEE Conference on Industrial Electronics and Applications (ICIEA); 2018 May 31–Jun 2; Wuhan, China. Piscataway (NJ): IEEE; 2018; 2693–7. doi: 10.1109/ICIEA.2018.8398166.
  5. Yang A, Wang Y, Tsui KL, Zi Y. Lithium-ion battery SOH estimation and fault diagnosis with missing data. 2019 IEEE International Instrumentation and Measurement Technology Conference (I2MTC); 2019 May 20–23; Auckland, New Zealand. Piscataway (NJ): IEEE; 2019; 1–6. doi: 10.1109/I2MTC.2019.8826888.
  6. Anseán D, Dubarry M, Devie A, Liaw B, Garcia V, Viera J, et al. Fast charging technique for high power LiFePO4 batteries: A mechanistic analysis of aging. J Power Sources. 2016; 321: 201–9.
  7. Thakre MP, Mahadik YV, Sardar N. Architecture of an HV power battery protection devices for hybrid electric vehicles (HEV). IOP Conf Ser Mater Sci Eng. 2021; 1084:012097.
  8. Chen L, Hsu RC, Liu C. A design of a grey-predicted Li-ion battery charge system. IEEE Trans Ind Electron. 2008; 55(10): 3692–701. doi: 10.1109/TIE.2008.928106.
  9. Surmann H. Genetic optimization of a fuzzy system for charging batteries. IEEE Trans Ind Electron. 1996; 43(5): 541–8. doi: 10.1109/41.538611.
  10. Mahadik YV, Yeole DS. Potentially affect of a vehicle to grid on the electricity system. IOP Conf Ser Mater Sci Eng. 2021; 1084: 012098.
  11. Keil P, Jossen A. Charging protocols for lithium-ion batteries and their impact on cycle life: An experimental study with different 18650 high-power cells. J Energy Storage. 2016; 6: 125–41.
  12. Vo T, Chen X, Shen W, Kapoor A. New charging strategy for lithium-ion batteries based on the integration of Taguchi method and state of charge estimation. J Power Sources. 2015; 273: 413–22.
  13. Leng F, Tan C, Pecht M. Effect of temperature on the aging rate of Li-ion battery operating above room temperature. Sci Rep. 2015; 5: 12967.
  14. Wehbe J, Karami N. Battery equivalent circuits and a brief summary of components value determination of lithium-ion: A review. 2015 Third International Conference on Technological Advances in Electrical, Electronics and Computer Engineering (TAEECE); 2015 Apr 29–May 1; Beirut, Lebanon. Piscataway (NJ): IEEE; 2015; 45–9. doi: 10.1109/TAEECE.2015.7113598.
  15. He H, Xiong R, Zhang X, Sun F, Fan J. State-of-charge estimation of the lithium-ion battery using an adaptive extended Kalman filter based on an improved Thevenin model. IEEE Trans Veh Technol. 2011; 60(4): 1461–9. doi: 10.1109/TVT.2011.2132812.
  16. Noura N, Boulon L, Jemeï S. Review of battery state of health estimation methods: Hybrid electric vehicle challenges. World Electr Veh J. 2020; 11(4): 66. doi: 10.3390/wevj11040066.
  17. Mahadik YV, Yeole DS, Chowdhary PK. Fast charging systems for the rapid growth of advanced electric vehicles (EVs). 2020 International Conference on Power, Energy, Control and Transmission Systems (ICPECTS); 2020 Dec 10–11; Chennai, India. Piscataway (NJ): IEEE; 2020; 1–6. doi: 10.1109/ICPECTS49113.2020.9336979.
  18. Mane JA, Rade MR, Thakre MP. Significant affect of EV charging on grid with renewable technologies. In Proceedings of the International Conference on Smart Data Intelligence (ICSMDI 2021). 2021 May 25.
  19. Purushothaman B, Landau K. Rapid charging of lithium-ion batteries using pulsed currents. J Electrochem Soc. 2006; 153(3): A533.
  20. Bankar DS, Choudhari P, Hirve SS. Fast charging techniques and material specifications requirement for lithium-ion batteries used in electrical vehicle: A review. Int J Sci Technol Res. 2019; 8(8): 2000–7.
  21. Li J, Murphy E, Winnick J, Kohl PA. The effects of pulse charging on cycling characteristics of commercial lithium-ion batteries. J Power Sources. 2001; 102(1–2): 302–9.
  22. Han H, Xu H, Yuan Z, Shen Y. A new SOH prediction model for a lithium-ion battery for electric vehicles. 2014 17th International Conference on Electrical Machines and Systems (ICEMS); 2014 Oct 22–25; Hangzhou, China. Piscataway (NJ): IEEE; 2014; 997–1002. doi: 10.1109/ICEMS.2014.7013631.
  23. Dung L, Chen C, Yuan H. A robust, intelligent CC-CV fast charger for aging lithium batteries. 2016 IEEE 25th International Symposium on Industrial Electronics (ISIE); 2016 Jun 8–10; Santa Clara, CA, USA. Piscataway (NJ): IEEE; 2016; 268–73. doi: 10.1109/ISIE.2016.7744901.
  24. Thakre MP, Kale VS. An adaptive approach for three zone operation of digital distance relay with Static Var Compensator using PMU. Int J Electr Power Energy Syst. 2016; 77: 327–36.
  25. Sayali SS, Chandrakant S, Jain AM, Ganesh M. Functionality of smart grid with RE enables the generation of solar energy: Opportunity to come. 2020 International Conference on Power, Energy, Control and Transmission Systems (ICPECTS); 2020 Dec 10–11; Chennai, India. Piscataway (NJ): IEEE; 2020; 1–7. doi: 10.1109/ICPECTS49113.2020.9337019.
  26. Mane J, Hadke V. Performance analysis of SRM based on asymmetrical bridge converter for plug- in hybrid electric vehicle. 2020 International Conference on Power, Energy, Control and Transmission Systems (ICPECTS); 2020 Dec 10–11; Chennai, India. Piscataway (NJ): IEEE; 2020; 1–6. doi: 10.1109/ICPECTS49113.2020.9337059.
  27. Thakre MP. MMC based SRM drives for hybrid EV with decentralized BESS. 2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA); 2020 Nov 5–7; Coimbatore, India. Piscataway (NJ): IEEE; 2020; 319–25. doi: 10.1109/ICECA49313.2020.9297508.
  28. Chowdhary PK. MMC-based SRM drives for hybrid-EV with decentralized BESS in battery driving mode. 2020 International Conference on Power, Energy, Control and Transmission Systems (ICPECTS); 2020 Dec 10–11; Chennai, India. Piscataway (NJ): IEEE; 2020; 1–6. doi: 10.1109/ICPECTS49113.2020.9337029.

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[if 424 not_equal=””]Regular Issue[else]Published[/if 424] Subscription Original Research

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Volume 15
[if 424 equals=”Regular Issue”]Issue[/if 424][if 424 equals=”Special Issue”]Special Issue[/if 424] [if 424 equals=”Conference”][/if 424] 03
Received 12/06/2025
Accepted 31/07/2025
Published 20/09/2025
Retracted
Publication Time 100 Days

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